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AI for Regulatory & Operational Compliance
A single regulatory change can affect assets, procedures, controls, training and evidence across the organization. As requirements multiply, manually tracing these connections grows harder to scale and keep current.
AI assisted compliance connects obligations with the procedures, controls, assets and evidence behind them, shifting compliance from periodic review toward continuous visibility.
Identify and classify individual requirements by business area, asset type or operational process.
Surface potentially affected procedures, assets and processes when regulatory requirements evolve.
Highlight missing evidence, outdated documentation and potential differences between requirements and current practices.
Connect requirements, controls, procedures, assets and supporting evidence through explicit, auditable relationships.
How NTT DATA helps
Apply NLP and generative AI to extract obligations from regulatory and technical documents and organize them around operational relevance.
Map obligations against policies, procedures, assets, work records, inspections, controls and other authorized enterprise evidence.
Identify which processes, documentation and assets may be affected when requirements change, giving teams a clearer starting point for review.
Use knowledge graphs and integrated information to establish explicit relationships between obligations, controls and supporting evidence.
AI accelerates analysis and gap identification, while qualified professionals validate obligations, interpret requirements and decide required actions.
Compliance stays connected to operations, with earlier visibility and stronger traceability across the obligation chain.
Indicative objectives depend on regulatory complexity, information quality, governance and deployment scope.
Reduce document review effort by 30–50% through faster analysis of regulatory requirements.
Reduce regulatory change impact assessment effort by 30–50%, helping teams identify affected areas faster.
Reduce manual requirement-to-control mapping effort by 30–50% through more automated traceability.
Cut audit preparation time by 20–40% with clearer access to supporting evidence and compliance information.
Shape the conversation that connects every regulatory obligation to its operational evidence, moving compliance toward continuous readiness
